0258_ABSMC_Psychiatry Grand Rounds - Psychology: AI_Live

January 8, 2024

Description:

This presentation will give an update on the impact of Artificial Intelligence (AI) technology on mental health and evolving cultural consideration of clinical applications that have emerged during the past year. Questions that will be explored include: How have people responded and reacted to the technology's affordances? How is it affecting the way people perform their work, understand the world, and perceive themselves? What can be expected in the year ahead?

Target Audience

Nurse Practitioner (NP)

Nurse, Registered (RN)

Physicians (MD or DO)

Other Healthcare Professionals

Learning Objectives

After participation in this activity, learners will be able to:

1. Identify at least two ethical issues that have arisen regarding AI technology and mental health in the past year.

2. Explain how AI technology has impacted people's work and self-perception over the past year based on reactions and cultural shifts.

3. Evaluate at least two ways that AI technology may continue to influence mental health, work, and identity in the coming year.

Course summary

Available credit:

1.50 AMA PRA Category 1 Credit™
In support of improving patient care, Sutter Health, is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.

Sutter Health designates this Live activity for a maximum of 1.50 AMA PRA Category 1 Credit™ for physicians. Learners should claim only the credit commensurate with the extent of their participation in the activity.
1.50 AMA PRA Category 1 Credit™ Hour(s)
In support of improving patient care, Sutter Health, is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.

Sutter Health certifies this Live activity was designated for a maximum of 1.50 AMA PRA Category 1 Credit™ Hour(s). Non-physicians should claim only the credit commensurate with the extent of their participation in the activity.
1.50 ANCC
In support of improving patient care, Sutter Health, is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.

This course/program has been awarded 1.50 ANCC contact hour(s). Sutter Health is accredited provider of nursing continuing professional development. Learners should claim only the credit commensurate with the extent of their participation in the activity.
1.50 CA BRN
This activity is approved for 1.50 contact hour(s) by Sutter Health, which is an approved provider by the California Board of Registered Nursing. (Provider Number 17182). Learners should claim only the credit commensurate with the extent of their participation in the activity.
1.50 IPCE
This activity was planned by and for the healthcare team, and learners will receive 1.50 Interprofessional Continuing Education (IPCE) credit for learning and change.

Course opens:

01/08/2024

Course expires:

02/08/2024

Event starts:

01/08/2024 - 12:00pm PST

Event ends:

01/08/2024 - 1:30pm PST

Cost:

$0.00

Add to calendar:

Rating:

Assembly Bills 1195 & 241- Providing Culturally Appropriate Care which is Free of Implicit Biases:

Ozmen Garibay, Ozlem, Brent Wislow, Salvatore Andolina, Margherita Antona, Anja Bodenschatz, Constantinos Coursaris, Gregory Falco et al. "Six Human-Centered Artificial Intelligence Grand Challenges". International Journal of Human-Computer Interaction 39, no. 3 (2023): 391-437. https://www.tandfonline.com/doi/full/10.1080/10447318.2022.2153320
Straw, I., & Callison-Burch, C. (2020). Artificial Intelligence in mental health and the biases of language based models. PloS one, 15(12), e0240376. https://doi.org/10.1371/journal.pone.0240376

Disclosure of Financial or In-Kind Commercial Support & Conflict of Interest

No one involved in the planning or presentation of this educational activity have any relevant financial relationship(s) to disclose with ineligible companies whose primary business is producing, marketing, selling, re-selling, or distributing healthcare products used by or on patients. No financial or in-kind commercial support was received to produce or promote this educational activity.

– Provider Designee/Verification: Kerri Maya, PhD(c), MSL, RN, NPD-BC

Committee Member(s)